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US20120290225A1 - Systems, Methods, and Apparatus for Determining Online Stress and Life Consumption of a Heat Recovery Steam Generator - Google Patents

Systems, Methods, and Apparatus for Determining Online Stress and Life Consumption of a Heat Recovery Steam Generator Download PDF

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Publication number
US20120290225A1
US20120290225A1 US13/532,481 US201213532481A US2012290225A1 US 20120290225 A1 US20120290225 A1 US 20120290225A1 US 201213532481 A US201213532481 A US 201213532481A US 2012290225 A1 US2012290225 A1 US 2012290225A1
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Prior art keywords
hrsg
components
cycle
determining
data associated
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US13/532,481
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US9279346B2 (en
Inventor
William B. Julian
Ashok D. Acharya
Joel Donnell Holt
Robert John Gdaniec
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GE Infrastructure Technology LLC
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General Electric Co
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Priority claimed from US12/907,187 external-priority patent/US9212569B2/en
Application filed by General Electric Co filed Critical General Electric Co
Priority to US13/532,481 priority Critical patent/US9279346B2/en
Assigned to GENERAL ELECTRIC COMPANY reassignment GENERAL ELECTRIC COMPANY ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: JULIAN, WILLIAM B., ACHARYA, ASHOK D., Gdaniec, Robert John, HOLT, JOEL DONNELL
Publication of US20120290225A1 publication Critical patent/US20120290225A1/en
Priority to PCT/US2013/042338 priority patent/WO2014003930A2/en
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Publication of US9279346B2 publication Critical patent/US9279346B2/en
Assigned to GE INFRASTRUCTURE TECHNOLOGY LLC reassignment GE INFRASTRUCTURE TECHNOLOGY LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: GENERAL ELECTRIC COMPANY
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01KSTEAM ENGINE PLANTS; STEAM ACCUMULATORS; ENGINE PLANTS NOT OTHERWISE PROVIDED FOR; ENGINES USING SPECIAL WORKING FLUIDS OR CYCLES
    • F01K13/00General layout or general methods of operation of complete plants
    • F01K13/003Arrangements for measuring or testing
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01KSTEAM ENGINE PLANTS; STEAM ACCUMULATORS; ENGINE PLANTS NOT OTHERWISE PROVIDED FOR; ENGINES USING SPECIAL WORKING FLUIDS OR CYCLES
    • F01K13/00General layout or general methods of operation of complete plants
    • F01K13/02Controlling, e.g. stopping or starting
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F22STEAM GENERATION
    • F22BMETHODS OF STEAM GENERATION; STEAM BOILERS
    • F22B37/00Component parts or details of steam boilers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M5/00Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
    • G01M5/0033Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by determining damage, crack or wear
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C3/00Registering or indicating the condition or the working of machines or other apparatus, other than vehicles

Definitions

  • This invention generally relates to heat recovery steam generators, and in particular, to determining online stress and life consumption of heat recovery steam generator pressure part components.
  • Heat recovery steam generators are one of four major components typically associated with power generation.
  • the other major components are the gas turbine, the steam turbine, and the generator(s).
  • the HRSG recaptures the excess heat energy that is produced in the turbine's combustion process, and such energy can be utilized in a steam turbine to generate additional usable energy.
  • Power generation system owners often need to manage the startup and shutdown cycles of the gas turbine system based on a number of factors including energy demand, fuel prices, energy prices, predicted load, power system conditions, emissions, etc. Therefore, the gas turbine components must withstand numerous heating and cooling cycles. This cycling tends to create mechanical wear and fatigue in the various parts due to thermal expansion and contraction.
  • Certain embodiments of the invention may include systems, methods, and apparatus for determining online stress and life consumption of a heat recovery steam generator.
  • a method for assessing components of a HRSG.
  • the method can include receiving HRSG design parameters; determining thermal stress data associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated temperature sensor data associated with the one or more HRSG components; and determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined thermal stress data.
  • a system for assessing components of a HRSG.
  • the system can include a HRSG, one or more sensors in communication with one or more components associated with the HRSG, and one or more processors in communication with the one or more sensors.
  • the one or more processors may be configured for receiving HRSG design parameters; determining thermal stress data associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated temperature sensor data associated with the one or more HRSG components; and determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined thermal stress data.
  • an apparatus for assessing components of a HRSG.
  • the apparatus may include one or more processors in communication with one or more sensors and configured for receiving HRSG design parameters; determining thermal stress data associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated temperature sensor data associated with the one or more HRSG components; and determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined thermal stress data.
  • FIG. 1 is a block diagram of an illustrative HRSG online stress and life monitoring system according to an example embodiment of the invention.
  • FIG. 2 is a flow diagram of an example method for assessing components related to a HRSG according to an example embodiment of the invention.
  • FIG. 3 is a block diagram of an illustrative HRSG online stress and life monitoring system according to an example embodiment of the invention.
  • FIG. 4 is a flow diagram of an example method for assessing components related to a HRSG according to an example embodiment of the invention.
  • Certain embodiments of the invention may enable determining an amount of wear, lifetime reduction, lifetime consumption, and/or damage associated with HRSG components as a function of cycling or transients.
  • sensors may be utilized to measure values such as temperature, pressure, and/or stress.
  • the measured values may be utilized to determine thermal-induced stresses, mechanical stresses, and/or creep stress.
  • multiple sensors may be utilized for measuring values associated with the various components of the HRSG.
  • HRSG design parameters may be input into a standards-based model for determining temperature and pressure induced stresses on the various HRSG components.
  • operational flexibility guidelines, limits, or other criteria associated with a gas turbine system can be based, at least in part, on the measured values, which may be utilized to provide information regarding regions of operation that may increase the chance of wear or damage to the HRSG components.
  • a risk vs. reward analysis may be performed to determine whether to allow the HRSG to operate in certain modes. For example, if demand is high for energy and if the price of energy is high enough, bringing a system online quickly, or pushing the system to certain limits may justify the extra wear and tear.
  • a system may provide valuable information to the operator for keeping the system within safe bounds.
  • the HRSG may be monitored for signs of stress that may indicate a need for replacing a part before a catastrophic failure occurs.
  • FIG. 1 illustrates an example HRSG system 100 for assessing components related to a HRSG.
  • the system 100 may include a workstation 102 , a network 126 , data storage/history 124 , sensors 120 , and a HRSG 122 .
  • HRSG design parameters 128 may be entered into the workstation 102 by a terminal or remote workstation 130 .
  • the HRSG design parameters 128 may already be present in the workstation 102 .
  • HRSG design parameters 128 may be updated based on the history of measurement data, or based on manual or automatic input.
  • the workstation 102 may include one or more memories 104 , one or more processors 106 , and one or more input/output interfaces 108 .
  • the workstation 102 may also include one or more network interfaces 110 for communication with the network 126 .
  • the memory 104 associated with the workstation 102 may include an operating system 112 , data 114 , and one or more calculation modules 118 for determining wear or life consumption associated with the HRSG components.
  • one or more sensors 120 may be in communication with, and may be utilized to, monitor temperature, pressure, and/or mechanical conditions (strain, position, load, etc.) of the various components of the HRSG 122 .
  • the sensors 120 may include signal condition equipment and/or analog to digital converters for converting the analog signals to digital signals for communication to the workstation 102 via a network 126 , or by other direct or wireless inputs to the workstation 102 .
  • analog sensors may communicate directly with the workstation 102 via analog input/output interfaces 108 .
  • a local or remote data storage/history memory device or system 124 may be utilized for saving data associated with the monitoring of the HRSG stresses.
  • the data storage/history memory device or system 124 may also be utilized for storing and/or retrieving HRSG design parameters 128 for use with the calculation module(s) 118 .
  • the system 100 may be utilized for assessing components related to the HRSG 122 .
  • design parameters 128 may be utilized, and thermal stress data from one or more temperature sensors in communication with one or more HRSG components 122 may be monitored.
  • cycle-related life consumption data associated with the one or more HRSG components 122 may be determined based at least in part on the HRSG design parameters 128 and the monitored thermal stress data.
  • mechanical stress data from one or more pressure sensors in communication with the one or more HRSG components 122 may also be utilized to determine cycle-related life consumption data.
  • the determined cycle-related life consumption data may be output, stored, and/or used to control one or more operations associated with the gas turbine system.
  • the HRSG design parameters 128 may include one or more of dimensions, tolerances, construction details, material details, weld details, heat balance envelope, operational envelope, or design envelope associated with the one or more HRSG components 122 .
  • additional parameters may be utilized by the calculation modules 118 , including material test results, actual material properties (rather than generic), actual dimensions of the components (rather than designed dimensions), and quality control (including x-ray test data of welds, or weld geometry inspection measurement data for example).
  • sensors can be real, virtual, or derived for measurement of temperature, differential temperature, pressure, strain, position, load, or any other physical characteristic.
  • operational data can include one or more historical, real-time, or calculated sensor data.
  • implementation may be applied to HRSGs or other boiler types.
  • determining cycle-related life consumption data may be based at least in part on one or more of stress cycle counting or load cycle counting.
  • cycle-related life consumption data and calculations may comply with one or more standards for design and dimensioning of boilers.
  • the European EN 12952-1, -2, -3, and -4 standards for design and dimensioning of shell boilers may serve as modeling for the one or more calculation modules 118 .
  • standards may be adapted for cycle counting, real-time tracking, and/or calculating mechanical and thermal stresses that may lead to fatigue and damage of the components associated with the HRSG 122 .
  • the sensors 120 may include temperature sensors that may be used to provide measured data for high fidelity metal thermally induced stress and creep calculations.
  • the sensors may be chosen to withstand the high temperatures of the HRSG components.
  • the sensors 120 may include, but are not limited to, thermopiles, RTDs (resistive thermal devices), infrared sensors, etc. as appropriate for each particular part or application.
  • the sensors 120 may include component pressure sensors that can provide measured input data for induced mechanical stress calculations.
  • instantaneous mechanical and thermal stresses may be calculated from the sensor data to determine fatigue damage.
  • instantaneous creep stress may be calculated and used as input data in a damage calculation for determining the resulting cycle and accumulated damage.
  • cycle counting methodology (based on a rainfall methodology) may be utilized for determining cycle-related damage.
  • monitoring and calculations can be performed for each component associated with the shell and nozzle of the HRSG.
  • components that are known to undergo high stress in a cycle may be utilized for an overall view of life consumption of the complete HRSG system.
  • the HRSG system 100 may determine stress, cycle, and/or transient related life consumption of the components associated with the HRSG 122 .
  • the life consumption may be based at least in part on the configuration and/or materials of the system.
  • the stress or life consumption information may be utilized as part of the general gas turbine control system or control loop for modifying any of the operating parameters.
  • the HRSG system 100 may be universal and applicable to any boiler configuration.
  • the HRSG system 100 may include a stress and life monitoring calculation engine that may receive relevant data from the sensors 120 (for example, pressure and HRSG component metal temperatures).
  • the data from the sensors 120 may be provided via a distributed control system.
  • the calculation engine (which according to an example embodiment, may include calculation modules 118 ), may calculate real-time thermal, mechanical, and creep stress, and the calculation engine may totalize the stress interactions to aggregate specific component metallurgical damage.
  • the calculated parameters may then be communicated to a control system to allow aggregation, historical retention, and control schemes to be implemented.
  • sensors 120 may be utilized to calculate stresses associated with the HRSG 122 , based at least in part on the HRSG 122 various component pressures and temperatures.
  • the calculation modules 118 associated with the HRSG system 100 may determine, store, and provide information regarding wear and/or damage associated with the various HRSG 122 components.
  • components associated with the HRSG 122 may include, but are not limited to, drums (high pressure steam drum, medium pressure steam drum, low pressure steam drum), steam manifolds, superheaters, economizers, attemperators, etc.
  • the wear and/or damage information may be utilized in a risk vs. reward calculation to take advantage of operational circumstances, for example, to achieve a balance between market incentives and the lifetime of the HRSG 122 components.
  • the method 200 starts in block 202 , where according to an example embodiment of the invention, the method 200 includes receiving HRSG design parameters.
  • the method 200 includes monitoring thermal stress data from one or more temperature sensors in communication with one or more HRSG components.
  • the method 200 includes determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the monitored thermal stress data. The method 200 ends after block 206 .
  • example embodiments of the invention can provide the technical effects of creating certain systems, methods, and apparatus that provide measured and instantaneous cycle-related wear and damage information for a HRSG.
  • Example embodiments of the invention can provide the further technical effects of providing systems, methods, and apparatus for determining the cycle-related wear and damage information based on a combination of modeling and sensor information.
  • example embodiments of the invention can provide the further technical effects of creating certain systems, methods, and apparatus that provide HRSG stress, life monitoring, and damage assessment based on current real-time measured operational stresses, which are standards-based.
  • the HRSG system 100 may include any number of hardware and/or software applications that are executed to facilitate any of the operations.
  • one or more I/O interfaces may facilitate communication between the HRSG system 100 and one or more input/output devices.
  • a universal serial bus port, a serial port, a disk drive, a CD-ROM drive, and/or one or more user interface devices such as a display, keyboard, keypad, mouse, control panel, touch screen display, microphone, etc., may facilitate user interaction with the HRSG system 100 .
  • the one or more I/O interfaces may be utilized to receive or collect data and/or user instructions from a wide variety of input devices. Received data may be processed by one or more computer processors as desired in various embodiments of the invention and/or stored in one or more memory devices.
  • One or more network interfaces may facilitate connection of the HRSG system 100 inputs and outputs to one or more suitable networks and/or connections; for example, the connections that facilitate communication with any number of sensors associated with the system.
  • the one or more network interfaces may further facilitate connection to one or more suitable networks; for example, a local area network, a wide area network, the Internet, a cellular network, a radio frequency network, a BluetoothTM (owned by Konaktiebolaget LM Ericsson) enabled network, a Wi-FiTM (owned by Wi-Fi Alliance) enabled network, a satellite-based network, any wired network, any wireless network, etc., for communication with external devices and/or systems.
  • embodiments of the invention may include the HRSG system 100 with more or less of the components illustrated in FIG. 1 .
  • FIG. 3 illustrates an example system 300 for assessing components related to a HRSG.
  • the system 300 may include one or more portable workstations 302 , one or more networks 316 , one or more plant data storage/historians 324 , one or more plant workstations 326 , one or more plant sensors 320 , and one or more temporary sensors 328 .
  • the portable workstation 302 may include one or more memories 304 , one or more processors 306 , and one or more input/output interfaces 308 .
  • the portable workstation 302 may also include one or more network interfaces 310 for communication with the network 316 .
  • the memory 304 associated with the portable workstation 302 may include an operating system 312 , data 314 , and one or more calculation modules 318 for determining wear or life consumption associated with the HRSG components.
  • the plant sensors 320 and/or the temporary sensors 328 may be in communication with and utilized to monitor temperature, pressure, and/or mechanical conditions (strain, position, load, etc.) of the various components of the HRSG.
  • the local or remote plant data storage/history memory device or system 324 may be utilized for saving data associated with the monitoring of the HRSG stresses.
  • the data storage/historian 324 memory device or system may also be utilized for storing and/or retrieving HRSG design parameters for use with the calculation module(s) 318 .
  • the plant sensors 320 and/or the temporary sensors 328 may be used by the calculation module(s) 318 to determine cycle-related life consumption data associated with the one or more HRSG components.
  • cycle-related life consumption data associated with the one or more HRSG components may be determined based at least in part on the HRSG design parameters and the real-time sensor data from the plant sensors 320 and/or the temporary sensors 328 .
  • cycle-related life consumption data associated with the one or more HRSG components may be determined based at least in part on the HRSG design parameters and calculated sensor data based at least in part on the real-time sensor data from the plant sensors 320 and/or the temporary sensors 328 . That is, the real-time sensor data from the plant sensors 320 and/or the temporary sensors 328 may be manipulated by one or more sensor algorithms of the calculation module(s) 318 .
  • the saved historical sensor data associated with the monitoring of the HRSG stresses may be used to determine cycle-related life consumption data associated with the one or more HRSG components.
  • cycle-related life consumption data associated with the one or more HRSG components may be determined based at least in part on the HRSG design parameters and the saved historical sensor data associated with the monitoring of the HRSG stresses in the plant data storage/history 324 memory device.
  • cycle-related life consumption data associated with the one or more HRSG components may be determined based at least in part on the HRSG design parameters and calculated sensor data based at least in part on the saved historical sensor data associated with the monitoring of the HRSG stresses in the plant data storage/historian 324 memory device.
  • example embodiments of the invention can provide the technical effects of creating certain systems, methods, and apparatus that provide measured and instantaneous cycle-related wear and damage information for a HRSG based at least in part on historical, real-time, or calculated sensor data associated with the various components of the HRSG.
  • the method 400 starts in block 402 , where according to an example embodiment of the invention, the method 400 includes receiving HRSG design parameters.
  • the method 400 includes determining thermal stress data associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated temperature sensor data associated with the one or more HRSG components.
  • the method 400 includes determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined thermal stress data. The method 400 ends after block 406 .
  • These computer-executable program instructions may be loaded onto a general-purpose computer, a special-purpose computer, a processor, or other programmable data processing apparatus to produce a particular machine, such that the instructions that execute on the computer, processor, or other programmable data processing apparatus create means for implementing one or more functions specified in the flow diagram block or blocks.
  • These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means that implement one or more functions specified in the flow diagram block or blocks.
  • embodiments of the invention may provide for a computer program product, comprising a computer-usable medium having a computer-readable program code or program instructions embodied therein, said computer-readable program code adapted to be executed to implement one or more functions specified in the flow diagram block or blocks.
  • the computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational elements or steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions that execute on the computer or other programmable apparatus provide elements or steps for implementing the functions specified in the flow diagram block or blocks.
  • blocks of the block diagrams and flow diagrams support combinations of means for performing the specified functions, combinations of elements or steps for performing the specified functions and program instruction means for performing the specified functions. It will also be understood that each block of the block diagrams and flow diagrams, and combinations of blocks in the block diagrams and flow diagrams, can be implemented by special-purpose, hardware-based computer systems that perform the specified functions, elements or steps, or combinations of special-purpose hardware and computer instructions.

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  • General Engineering & Computer Science (AREA)
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Abstract

Certain embodiments of the invention may include systems, methods, and apparatus for determining online stress and life consumption of a heat recovery steam generator (HRSG). According to an example embodiment of the invention, a method for assessing components of a HRSG is provided. The method includes receiving HRSG design parameters; determining thermal stress data associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated temperature sensor data associated with the one or more HRSG components; and determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined thermal stress data.

Description

    CROSS-REFERENCE TO RELATED APPLICATIONS
  • The present application is a continuation-in-part of and claims the benefit of U.S. patent application Ser. No. 12/907,187, filed on Oct. 19, 2010, issued as U.S. Pat. No. ______, which is hereby incorporated by reference in its entirety.
  • FIELD OF THE INVENTION
  • This invention generally relates to heat recovery steam generators, and in particular, to determining online stress and life consumption of heat recovery steam generator pressure part components.
  • BACKGROUND OF THE INVENTION
  • Heat recovery steam generators (HRSG) are one of four major components typically associated with power generation. The other major components are the gas turbine, the steam turbine, and the generator(s). The HRSG recaptures the excess heat energy that is produced in the turbine's combustion process, and such energy can be utilized in a steam turbine to generate additional usable energy.
  • Power generation system owners often need to manage the startup and shutdown cycles of the gas turbine system based on a number of factors including energy demand, fuel prices, energy prices, predicted load, power system conditions, emissions, etc. Therefore, the gas turbine components must withstand numerous heating and cooling cycles. This cycling tends to create mechanical wear and fatigue in the various parts due to thermal expansion and contraction.
  • One of the challenges facing gas turbine operators involves balancing the power output to service demand cycles and transients without creating unnecessary wear or damage to the multitude of parts that make up the HRSG.
  • SUMMARY OF THE INVENTION
  • Some or all of the above needs may be addressed by certain embodiments of the invention. Certain embodiments of the invention may include systems, methods, and apparatus for determining online stress and life consumption of a heat recovery steam generator.
  • According to an example embodiment of the invention, a method is provided for assessing components of a HRSG. The method can include receiving HRSG design parameters; determining thermal stress data associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated temperature sensor data associated with the one or more HRSG components; and determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined thermal stress data.
  • According to another example embodiment, a system is provided for assessing components of a HRSG. The system can include a HRSG, one or more sensors in communication with one or more components associated with the HRSG, and one or more processors in communication with the one or more sensors. The one or more processors may be configured for receiving HRSG design parameters; determining thermal stress data associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated temperature sensor data associated with the one or more HRSG components; and determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined thermal stress data.
  • According to another example embodiment, an apparatus is provided for assessing components of a HRSG. The apparatus may include one or more processors in communication with one or more sensors and configured for receiving HRSG design parameters; determining thermal stress data associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated temperature sensor data associated with the one or more HRSG components; and determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined thermal stress data.
  • Other embodiments and aspects of the invention are described in detail herein and are considered a part of the claimed inventions. Other embodiments and aspects can be understood with reference to the following detailed description, accompanying drawings, and claims.
  • BRIEF DESCRIPTION OF THE FIGURES
  • Reference will now be made to the accompanying drawings, which are not necessarily drawn to scale, and wherein:
  • FIG. 1 is a block diagram of an illustrative HRSG online stress and life monitoring system according to an example embodiment of the invention.
  • FIG. 2 is a flow diagram of an example method for assessing components related to a HRSG according to an example embodiment of the invention.
  • FIG. 3 is a block diagram of an illustrative HRSG online stress and life monitoring system according to an example embodiment of the invention.
  • FIG. 4 is a flow diagram of an example method for assessing components related to a HRSG according to an example embodiment of the invention.
  • DETAILED DESCRIPTION OF THE INVENTION
  • Embodiments of the invention will be described more fully hereinafter with reference to the accompanying drawings, in which embodiments of the invention are shown. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Like numbers refer to like elements throughout.
  • Certain embodiments of the invention may enable determining an amount of wear, lifetime reduction, lifetime consumption, and/or damage associated with HRSG components as a function of cycling or transients. According to certain example embodiments, sensors may be utilized to measure values such as temperature, pressure, and/or stress. In an example embodiment, the measured values may be utilized to determine thermal-induced stresses, mechanical stresses, and/or creep stress. In an example embodiment, multiple sensors may be utilized for measuring values associated with the various components of the HRSG. In accordance with example embodiments of the invention, HRSG design parameters may be input into a standards-based model for determining temperature and pressure induced stresses on the various HRSG components.
  • According to an example embodiment, operational flexibility guidelines, limits, or other criteria associated with a gas turbine system can be based, at least in part, on the measured values, which may be utilized to provide information regarding regions of operation that may increase the chance of wear or damage to the HRSG components. In an example embodiment, a risk vs. reward analysis may be performed to determine whether to allow the HRSG to operate in certain modes. For example, if demand is high for energy and if the price of energy is high enough, bringing a system online quickly, or pushing the system to certain limits may justify the extra wear and tear. In an example embodiment, a system may provide valuable information to the operator for keeping the system within safe bounds. In another example embodiment of the invention, the HRSG may be monitored for signs of stress that may indicate a need for replacing a part before a catastrophic failure occurs.
  • According to example embodiments of the invention, various sensors, processors, modules, and data systems that may be utilized for assessing stresses associated with the HRSG components will now be described with reference to the accompanying figures.
  • FIG. 1 illustrates an example HRSG system 100 for assessing components related to a HRSG. According to example embodiments of the invention, the system 100 may include a workstation 102, a network 126, data storage/history 124, sensors 120, and a HRSG 122. In an example embodiment, HRSG design parameters 128 may be entered into the workstation 102 by a terminal or remote workstation 130. In other example embodiments of the invention, the HRSG design parameters 128 may already be present in the workstation 102. In an example embodiment, HRSG design parameters 128 may be updated based on the history of measurement data, or based on manual or automatic input.
  • According to an example embodiment of the invention, the workstation 102 may include one or more memories 104, one or more processors 106, and one or more input/output interfaces 108. In accordance with an example embodiment of the invention, the workstation 102 may also include one or more network interfaces 110 for communication with the network 126. In an example embodiment, the memory 104 associated with the workstation 102 may include an operating system 112, data 114, and one or more calculation modules 118 for determining wear or life consumption associated with the HRSG components.
  • According to an example embodiment, one or more sensors 120 may be in communication with, and may be utilized to, monitor temperature, pressure, and/or mechanical conditions (strain, position, load, etc.) of the various components of the HRSG 122. The sensors 120 may include signal condition equipment and/or analog to digital converters for converting the analog signals to digital signals for communication to the workstation 102 via a network 126, or by other direct or wireless inputs to the workstation 102. In other example embodiments, analog sensors may communicate directly with the workstation 102 via analog input/output interfaces 108. In an example embodiment, a local or remote data storage/history memory device or system 124 may be utilized for saving data associated with the monitoring of the HRSG stresses. In an example embodiment, the data storage/history memory device or system 124 may also be utilized for storing and/or retrieving HRSG design parameters 128 for use with the calculation module(s) 118.
  • According to an example embodiment, the system 100 may be utilized for assessing components related to the HRSG 122. For example, design parameters 128 may be utilized, and thermal stress data from one or more temperature sensors in communication with one or more HRSG components 122 may be monitored. According to an example embodiment, cycle-related life consumption data associated with the one or more HRSG components 122 may be determined based at least in part on the HRSG design parameters 128 and the monitored thermal stress data.
  • In an example embodiment, mechanical stress data from one or more pressure sensors in communication with the one or more HRSG components 122 may also be utilized to determine cycle-related life consumption data. According to an example embodiment of the invention, the determined cycle-related life consumption data may be output, stored, and/or used to control one or more operations associated with the gas turbine system. In an example embodiment, the HRSG design parameters 128 may include one or more of dimensions, tolerances, construction details, material details, weld details, heat balance envelope, operational envelope, or design envelope associated with the one or more HRSG components 122. According to example embodiments of the invention, additional parameters may be utilized by the calculation modules 118, including material test results, actual material properties (rather than generic), actual dimensions of the components (rather than designed dimensions), and quality control (including x-ray test data of welds, or weld geometry inspection measurement data for example).
  • According to example embodiments of the inventions, sensors can be real, virtual, or derived for measurement of temperature, differential temperature, pressure, strain, position, load, or any other physical characteristic. In this manner, operational data can include one or more historical, real-time, or calculated sensor data. According to example embodiments, implementation may be applied to HRSGs or other boiler types.
  • In an example embodiment, determining cycle-related life consumption data may be based at least in part on one or more of stress cycle counting or load cycle counting. In an example embodiment, cycle-related life consumption data and calculations may comply with one or more standards for design and dimensioning of boilers. For example, the European EN 12952-1, -2, -3, and -4 standards for design and dimensioning of shell boilers may serve as modeling for the one or more calculation modules 118. In an example embodiment, standards may be adapted for cycle counting, real-time tracking, and/or calculating mechanical and thermal stresses that may lead to fatigue and damage of the components associated with the HRSG 122.
  • According to example embodiments, the sensors 120 may include temperature sensors that may be used to provide measured data for high fidelity metal thermally induced stress and creep calculations. In an example embodiment, the sensors may be chosen to withstand the high temperatures of the HRSG components. For example, the sensors 120 may include, but are not limited to, thermopiles, RTDs (resistive thermal devices), infrared sensors, etc. as appropriate for each particular part or application. According to example embodiments of the invention, the sensors 120 may include component pressure sensors that can provide measured input data for induced mechanical stress calculations.
  • According to an example embodiment, instantaneous mechanical and thermal stresses may be calculated from the sensor data to determine fatigue damage. According to an example embodiment, instantaneous creep stress may be calculated and used as input data in a damage calculation for determining the resulting cycle and accumulated damage. According to an example embodiment of the invention, cycle counting methodology (based on a rainfall methodology) may be utilized for determining cycle-related damage. In an example embodiment, monitoring and calculations can be performed for each component associated with the shell and nozzle of the HRSG. According to example embodiments of the invention, components that are known to undergo high stress in a cycle may be utilized for an overall view of life consumption of the complete HRSG system.
  • In accordance with example embodiments of the invention, the HRSG system 100 may determine stress, cycle, and/or transient related life consumption of the components associated with the HRSG 122. The life consumption may be based at least in part on the configuration and/or materials of the system. In an example embodiment, the stress or life consumption information may be utilized as part of the general gas turbine control system or control loop for modifying any of the operating parameters. According to an example embodiment, the HRSG system 100 may be universal and applicable to any boiler configuration.
  • In accordance with example embodiments of the invention, the HRSG system 100 may include a stress and life monitoring calculation engine that may receive relevant data from the sensors 120 (for example, pressure and HRSG component metal temperatures). In an example embodiment, the data from the sensors 120 may be provided via a distributed control system. In an example embodiment, the calculation engine (which according to an example embodiment, may include calculation modules 118), may calculate real-time thermal, mechanical, and creep stress, and the calculation engine may totalize the stress interactions to aggregate specific component metallurgical damage. In an example embodiment, the calculated parameters may then be communicated to a control system to allow aggregation, historical retention, and control schemes to be implemented.
  • In an example embodiment, sensors 120 may be utilized to calculate stresses associated with the HRSG 122, based at least in part on the HRSG 122 various component pressures and temperatures. When a cycle is detected, the calculation modules 118 associated with the HRSG system 100 may determine, store, and provide information regarding wear and/or damage associated with the various HRSG 122 components. In an example embodiment, components associated with the HRSG 122 may include, but are not limited to, drums (high pressure steam drum, medium pressure steam drum, low pressure steam drum), steam manifolds, superheaters, economizers, attemperators, etc. In an example embodiment, the wear and/or damage information may be utilized in a risk vs. reward calculation to take advantage of operational circumstances, for example, to achieve a balance between market incentives and the lifetime of the HRSG 122 components.
  • An example method 200 for assessing components related to a HRSG will now be described with reference to the flow diagram of FIG. 2. The method 200 starts in block 202, where according to an example embodiment of the invention, the method 200 includes receiving HRSG design parameters. In block 204, the method 200 includes monitoring thermal stress data from one or more temperature sensors in communication with one or more HRSG components. In block 206, the method 200 includes determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the monitored thermal stress data. The method 200 ends after block 206.
  • Accordingly, example embodiments of the invention can provide the technical effects of creating certain systems, methods, and apparatus that provide measured and instantaneous cycle-related wear and damage information for a HRSG. Example embodiments of the invention can provide the further technical effects of providing systems, methods, and apparatus for determining the cycle-related wear and damage information based on a combination of modeling and sensor information. Accordingly, example embodiments of the invention can provide the further technical effects of creating certain systems, methods, and apparatus that provide HRSG stress, life monitoring, and damage assessment based on current real-time measured operational stresses, which are standards-based.
  • In example embodiments of the invention, the HRSG system 100 may include any number of hardware and/or software applications that are executed to facilitate any of the operations. In example embodiments, one or more I/O interfaces may facilitate communication between the HRSG system 100 and one or more input/output devices. For example, a universal serial bus port, a serial port, a disk drive, a CD-ROM drive, and/or one or more user interface devices, such as a display, keyboard, keypad, mouse, control panel, touch screen display, microphone, etc., may facilitate user interaction with the HRSG system 100. The one or more I/O interfaces may be utilized to receive or collect data and/or user instructions from a wide variety of input devices. Received data may be processed by one or more computer processors as desired in various embodiments of the invention and/or stored in one or more memory devices.
  • One or more network interfaces may facilitate connection of the HRSG system 100 inputs and outputs to one or more suitable networks and/or connections; for example, the connections that facilitate communication with any number of sensors associated with the system. The one or more network interfaces may further facilitate connection to one or more suitable networks; for example, a local area network, a wide area network, the Internet, a cellular network, a radio frequency network, a Bluetooth™ (owned by Telefonaktiebolaget LM Ericsson) enabled network, a Wi-Fi™ (owned by Wi-Fi Alliance) enabled network, a satellite-based network, any wired network, any wireless network, etc., for communication with external devices and/or systems. As desired, embodiments of the invention may include the HRSG system 100 with more or less of the components illustrated in FIG. 1.
  • FIG. 3 illustrates an example system 300 for assessing components related to a HRSG. According to example embodiments of the invention, the system 300 may include one or more portable workstations 302, one or more networks 316, one or more plant data storage/historians 324, one or more plant workstations 326, one or more plant sensors 320, and one or more temporary sensors 328.
  • According to an example embodiment of the invention, the portable workstation 302 may include one or more memories 304, one or more processors 306, and one or more input/output interfaces 308. In accordance with an example embodiment of the invention, the portable workstation 302 may also include one or more network interfaces 310 for communication with the network 316. In an example embodiment, the memory 304 associated with the portable workstation 302 may include an operating system 312, data 314, and one or more calculation modules 318 for determining wear or life consumption associated with the HRSG components.
  • According to an example embodiment, the plant sensors 320 and/or the temporary sensors 328 may be in communication with and utilized to monitor temperature, pressure, and/or mechanical conditions (strain, position, load, etc.) of the various components of the HRSG. In an example embodiment, the local or remote plant data storage/history memory device or system 324 may be utilized for saving data associated with the monitoring of the HRSG stresses. In an example embodiment, the data storage/historian 324 memory device or system may also be utilized for storing and/or retrieving HRSG design parameters for use with the calculation module(s) 318.
  • In an example embodiment, the plant sensors 320 and/or the temporary sensors 328 may be used by the calculation module(s) 318 to determine cycle-related life consumption data associated with the one or more HRSG components. For example, in some instances, cycle-related life consumption data associated with the one or more HRSG components may be determined based at least in part on the HRSG design parameters and the real-time sensor data from the plant sensors 320 and/or the temporary sensors 328. In other instances, cycle-related life consumption data associated with the one or more HRSG components may be determined based at least in part on the HRSG design parameters and calculated sensor data based at least in part on the real-time sensor data from the plant sensors 320 and/or the temporary sensors 328. That is, the real-time sensor data from the plant sensors 320 and/or the temporary sensors 328 may be manipulated by one or more sensor algorithms of the calculation module(s) 318.
  • In an example embodiment, the saved historical sensor data associated with the monitoring of the HRSG stresses may be used to determine cycle-related life consumption data associated with the one or more HRSG components. For example, in some instances, cycle-related life consumption data associated with the one or more HRSG components may be determined based at least in part on the HRSG design parameters and the saved historical sensor data associated with the monitoring of the HRSG stresses in the plant data storage/history 324 memory device. In other instances, cycle-related life consumption data associated with the one or more HRSG components may be determined based at least in part on the HRSG design parameters and calculated sensor data based at least in part on the saved historical sensor data associated with the monitoring of the HRSG stresses in the plant data storage/historian 324 memory device.
  • Accordingly, example embodiments of the invention can provide the technical effects of creating certain systems, methods, and apparatus that provide measured and instantaneous cycle-related wear and damage information for a HRSG based at least in part on historical, real-time, or calculated sensor data associated with the various components of the HRSG.
  • An example method 400 for assessing components related to a HRSG will now be described with reference to the flow diagram of FIG. 4. The method 400 starts in block 402, where according to an example embodiment of the invention, the method 400 includes receiving HRSG design parameters. In block 404, the method 400 includes determining thermal stress data associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated temperature sensor data associated with the one or more HRSG components. In block 406, the method 400 includes determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined thermal stress data. The method 400 ends after block 406.
  • The invention is described above with reference to block and flow diagrams of systems, methods, apparatuses, and/or computer program products according to example embodiments of the invention. It will be understood that one or more blocks of the block diagrams and flow diagrams, and combinations of blocks in the block diagrams and flow diagrams, respectively, can be implemented by computer-executable program instructions. Likewise, some blocks of the block diagrams and flow diagrams may not necessarily need to be performed in the order presented, or may not necessarily need to be performed at all, according to some embodiments of the invention.
  • These computer-executable program instructions may be loaded onto a general-purpose computer, a special-purpose computer, a processor, or other programmable data processing apparatus to produce a particular machine, such that the instructions that execute on the computer, processor, or other programmable data processing apparatus create means for implementing one or more functions specified in the flow diagram block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means that implement one or more functions specified in the flow diagram block or blocks. As an example, embodiments of the invention may provide for a computer program product, comprising a computer-usable medium having a computer-readable program code or program instructions embodied therein, said computer-readable program code adapted to be executed to implement one or more functions specified in the flow diagram block or blocks. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational elements or steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions that execute on the computer or other programmable apparatus provide elements or steps for implementing the functions specified in the flow diagram block or blocks.
  • Accordingly, blocks of the block diagrams and flow diagrams support combinations of means for performing the specified functions, combinations of elements or steps for performing the specified functions and program instruction means for performing the specified functions. It will also be understood that each block of the block diagrams and flow diagrams, and combinations of blocks in the block diagrams and flow diagrams, can be implemented by special-purpose, hardware-based computer systems that perform the specified functions, elements or steps, or combinations of special-purpose hardware and computer instructions.
  • While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.
  • This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope of the invention is defined in the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements with insubstantial differences from the literal language of the claims.

Claims (20)

1. A method for assessing one or more components of a heat recovery steam generator (HRSG), comprising:
receiving HRSG design parameters;
determining thermal stress data associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated temperature sensor data associated with the one or more HRSG components; and
determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined thermal stress data.
2. The method of claim 1, further comprising determining mechanical stress associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated pressure sensor data associated with the one or more HRSG components.
3. The method of claim 2, further comprising determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined mechanical stress data.
4. The method of claim 1, wherein receiving the HRSG design parameters comprises receiving one or more of dimensions, tolerances, construction details, material details, weld details, heat balance envelope, operational envelope, design envelope, material testing properties, manufacturer data, quality control data, or inspection data associated with the one or more HRSG components.
5. The method of claim 1, further comprising outputting and storing the determined cycle-related life consumption data.
6. The method of claim 1, wherein determining cycle-related life consumption data is based at least in part on one or more of stress cycle counting or load cycle counting.
7. The method of claim 1, wherein determining cycle-related life consumption data complies with one or more standards for design and dimensioning of boilers.
8. A system for assessing one or more components of a heat recovery steam generator (HRSG), comprising:
a heat recovery steam generator (HRSG);
one or more sensors in communication with one or more HRSG components; and
one or more processors in communication with the one or more sensors and configured for:
receiving HRSG design parameters;
determining thermal stress data associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated temperature sensor data associated with the one or more HRSG components; and
determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined thermal stress data.
9. The system of claim 8, wherein the one or more processors are further configured for determining mechanical stress associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated pressure sensor data associated with the one or more HRSG components.
10. The system of claim 9, wherein the one or more processors are further configured for determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined mechanical stress data.
11. The system of claim 8, wherein receiving the HRSG design parameters comprises receiving one or more of dimensions, tolerances, construction details, material details, weld details, heat balance envelope, operational envelope, design envelope, material testing properties, manufacturer data, quality control data, or inspection data associated with the one or more HRSG components.
12. The system of claim 8, further comprising at least one memory for storing the determined cycle-related life consumption data.
13. The system of claim 8, wherein determining cycle-related life consumption data is based at least in part on one or more of stress cycle counting or load cycle counting.
14. The system of claim 8, wherein determining cycle-related life consumption data complies with one or more standards for design and dimensioning of boilers.
15. An apparatus for assessing one or more components of a heat recovery steam generator (HRSG), comprising:
one or more processors in communication with one or more sensors and configured for:
receiving HRSG design parameters;
determining thermal stress data associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated temperature sensor data associated with the one or more HRSG components; and
determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined thermal stress data.
16. The apparatus of claim 15, wherein the one or more processors are further configured for determining mechanical stress associated with the one or more HRSG components based at least in part on one or more historical, real-time, or calculated pressure sensor data associated with the one or more HRSG components.
17. The apparatus of claim 16, wherein the one or more processors are further configured for determining cycle-related life consumption data associated with the one or more HRSG components based at least in part on the HRSG design parameters and the determined mechanical stress data.
18. The apparatus of claim 15, wherein receiving the HRSG design parameters comprises receiving one or more of dimensions, tolerances, construction details, material details, weld details, heat balance envelope, operational envelope, design envelope, material testing properties, manufacture data, quality control data, or inspection data associated with the one or more HRSG components.
19. The apparatus of claim 15, further comprising at least one memory for storing the determined cycle-related life consumption data.
20. The apparatus of claim 15, wherein determining the cycle-related life consumption data complies with one or more standards for design and dimensioning of boilers and is based at least in part on one or more of stress cycle counting or load cycle counting.
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Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150134189A1 (en) * 2013-11-08 2015-05-14 Ricardo, Inc. Systems and methods for remaining useful life predictions in drivetrains
US9200984B2 (en) 2013-10-11 2015-12-01 Solar Turbines Incorporated Condition based lifing of gas turbine engine components
US9581086B2 (en) 2013-12-20 2017-02-28 General Electric Company Turbine operational flexibility
EP3136076A1 (en) * 2015-08-24 2017-03-01 Wipro Limited Method and system for real-time monitoring of operating condition at an infrastructure
US9674642B2 (en) 2015-08-24 2017-06-06 Wipro Limited Method and system for real-time monitoring of operating condition at an infrastructure
CN107146296A (en) * 2017-03-23 2017-09-08 国家电网公司 A kind of transformer cruising inspection system and inspection method based on Internet of Things
CN108343481A (en) * 2017-12-01 2018-07-31 北京四方继保自动化股份有限公司 Power grid wind electricity digestion cooperative control device based on thermoelectricity decoupling
EP3366893A3 (en) * 2017-02-27 2018-11-14 General Electric Company System and method for predicting and enhancing power plant startup time
US10342738B2 (en) 2016-01-19 2019-07-09 Biogen Ma, Inc. Medical metering device
US10851990B2 (en) 2019-03-05 2020-12-01 General Electric Company System and method to improve combined cycle plant power generation capacity via heat recovery energy control
US20230126493A1 (en) * 2020-04-09 2023-04-27 Siemens Energy Global GmbH & Co. KG Monitoring an electrical-energy transmission system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110283706A1 (en) * 2010-05-19 2011-11-24 Diego Fernando Rancruel System and methods for pre-heating fuel in a power plant
US20120031106A1 (en) * 2010-08-05 2012-02-09 General Electric Company System and method for measuring temperature within a turbine system

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3042066B2 (en) 1991-09-05 2000-05-15 株式会社日立製作所 Plant control system
JPH0875107A (en) 1994-09-06 1996-03-19 Babcock Hitachi Kk Method for estimating life time of high temperature pressure resistant part
JP2003065984A (en) 2001-08-30 2003-03-05 Babcock Hitachi Kk Method and apparatus for assessing remaining life of furnace heat conduction wall panel
US6804612B2 (en) 2001-10-30 2004-10-12 General Electric Company Methods and systems for performing integrated analyzes, such as integrated analyzes for gas turbine power plants
US8065022B2 (en) 2005-09-06 2011-11-22 General Electric Company Methods and systems for neural network modeling of turbine components
JP2009511807A (en) 2005-10-17 2009-03-19 シーメンス アクチエンゲゼルシヤフト Method and apparatus for detecting lifetime consumption of components of fossil fuel energy generation equipment
EP1811282A1 (en) 2006-01-20 2007-07-25 ABB Technology AG Monitoring a degradation of steam generator boiler tubes
US8352148B2 (en) 2008-05-21 2013-01-08 General Electric Company System for controlling input profiles of combined cycle power generation system
CN101520171A (en) 2009-03-27 2009-09-02 广州市特种承压设备检测研究院 Boiler operating parameter recorder
US9212569B2 (en) 2010-10-19 2015-12-15 General Electric Company Systems, methods, and apparatus for determining online stress and life consumption of a heat recovery steam generator
WO2014003930A2 (en) 2012-06-25 2014-01-03 General Electric Company Systems, methods, and apparatus for determining online stress and life consumption of a heat recovery steam generator

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110283706A1 (en) * 2010-05-19 2011-11-24 Diego Fernando Rancruel System and methods for pre-heating fuel in a power plant
US20120031106A1 (en) * 2010-08-05 2012-02-09 General Electric Company System and method for measuring temperature within a turbine system

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9200984B2 (en) 2013-10-11 2015-12-01 Solar Turbines Incorporated Condition based lifing of gas turbine engine components
US20150134189A1 (en) * 2013-11-08 2015-05-14 Ricardo, Inc. Systems and methods for remaining useful life predictions in drivetrains
US9581086B2 (en) 2013-12-20 2017-02-28 General Electric Company Turbine operational flexibility
EP3136076A1 (en) * 2015-08-24 2017-03-01 Wipro Limited Method and system for real-time monitoring of operating condition at an infrastructure
US9674642B2 (en) 2015-08-24 2017-06-06 Wipro Limited Method and system for real-time monitoring of operating condition at an infrastructure
US10342738B2 (en) 2016-01-19 2019-07-09 Biogen Ma, Inc. Medical metering device
EP3366893A3 (en) * 2017-02-27 2018-11-14 General Electric Company System and method for predicting and enhancing power plant startup time
US10487750B2 (en) 2017-02-27 2019-11-26 General Electric Company System and method for predicting and enhancing power plant startup time
CN107146296A (en) * 2017-03-23 2017-09-08 国家电网公司 A kind of transformer cruising inspection system and inspection method based on Internet of Things
CN108343481A (en) * 2017-12-01 2018-07-31 北京四方继保自动化股份有限公司 Power grid wind electricity digestion cooperative control device based on thermoelectricity decoupling
US10851990B2 (en) 2019-03-05 2020-12-01 General Electric Company System and method to improve combined cycle plant power generation capacity via heat recovery energy control
US20230126493A1 (en) * 2020-04-09 2023-04-27 Siemens Energy Global GmbH & Co. KG Monitoring an electrical-energy transmission system

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